Metals and what they're good for, sentence 4
Mixing metals makes alloys that are better than the pure metals: copper with tin makes bronze, and iron with a little carbon makes steel, strong enough for bridges.
Who acts: Mixing, alloys, copper, iron · What happens: mix, make, be · To what, where: metals, alloys, bronze, steel
This is a sentence of the lesson «Metals and what they're good for» of the chemistry course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Mixing, alloys, copper, iron), what happens, when and where, as Mova's frames read it from the tree.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Mixing | mix | VERB | VerbForm=Ger | 3 makes | csubj |
| 2 | metals | metal | NOUN | Number=Plur | 1 Mixing | obj |
| 3 | makes | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | alloys | alloy | NOUN | Number=Plur | 3 makes | obj |
| 5 | that | that | PRON | PronType=Rel | 7 better | nsubj |
| 6 | are | be | AUX | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 7 better | cop |
| 7 | better | good | ADJ | Degree=Cmp | 4 alloys | acl:relcl |
| 8 | than | than | ADP | _ | 11 metals | case |
| 9 | the | the | DET | Definite=Def PronType=Art | 11 metals | det |
| 10 | pure | pure | ADJ | Degree=Pos | 11 metals | amod |
| 11 | metals | metal | NOUN | Number=Plur | 7 better | obl |
| 12 | : | : | PUNCT | _ | 13 copper | punct |
| 13 | copper | copper | NOUN | Number=Sing | 16 makes | nsubj |
| 14 | with | with | ADP | _ | 15 tin | case |
| 15 | tin | tin | NOUN | Number=Sing | 13 copper | nmod |
| 16 | makes | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 3 makes | parataxis |
| 17 | bronze | bronze | NOUN | Number=Sing | 16 makes | obj |
| 18 | , | , | PUNCT | _ | 25 makes | punct |
| 19 | and | and | CCONJ | _ | 25 makes | cc |
| 20 | iron | iron | NOUN | Number=Sing | 25 makes | nsubj |
| 21 | with | with | ADP | _ | 24 carbon | case |
| 22 | a | a | DET | Definite=Ind PronType=Art | 24 carbon | det |
| 23 | little | little | ADJ | Degree=Pos | 24 carbon | amod |
| 24 | carbon | carbon | NOUN | Number=Sing | 20 iron | nmod |
| 25 | makes | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 16 makes | conj |
| 26 | steel | steel | NOUN | Number=Sing | 25 makes | obj |
| 27 | , | , | PUNCT | _ | 25 makes | punct |
| 28 | strong | strong | ADJ | Degree=Pos | 26 steel | acl |
| 29 | enough | enough | ADV | _ | 28 strong | advmod |
| 30 | for | for | ADP | _ | 31 bridges | case |
| 31 | bridges | bridge | NOUN | Number=Plur | 28 strong | obl |
| 32 | . | . | PUNCT | _ | 3 makes | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | mix | gerund | metals | vn mix-22.1-1-1 «NP V NP»: agent=Agent metal=Patient | |||||
| 2 | make | present | Mixing | alloys | vn build-26.1-1 «NP.asset V NP»: agent=Asset alloy=Product | ||||
| 3 | is | present | alloys | than the pure metals; good property | tree rules | ||||
| 4 | make | present | copper with tin | bronze | vn build-26.1-1 «NP.material V NP»: agent=Material bronze=Product | ||||
| 5 | make | present | iron with a little carbon | steel | vn build-26.1-1 «NP.asset V NP»: agent=Asset steel=Product |
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.
Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:chemistry:031-metals-what-theyre-good-for.lesson:4.
The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R2-punct-next ×1. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.
See the release 0.4.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/chemistry/31-metals-what-theyre-good-for/4/